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Gaussian Process Models for Time Series

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If you have a question about this talk, please contact Rowan McAllister.

We will initially present a unifying overview of the existing literature on time series modelling with Gaussian processes. Further, we will discuss various types of learning algorithms for those models and we will comment on the trade-off between preserving the nonparametric characteristics of the models and computation time.

This talk is part of the Machine Learning Reading Group @ CUED series.

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